Independent Data Annotation Practice Project
Completed a self-directed data annotation project to develop practical experience in AI training workflows. Labeled and annotated image datasets containing everyday retail and household objects using bounding boxes and object tagging techniques. Scope included: • Object identification and bounding box annotation • Image classification based on object categories • Dataset tagging following structured annotation guidelines • Manual validation of labels to ensure accuracy and consistency • Dataset organization for machine learning readiness Processed over 2,000 images sourced from open datasets and practice annotation tools. Maintained quality control through repeated verification passes and guideline adherence to ensure labeling precision and dataset reliability.